Artificial intelligence generated visual communication improves comprehension and adherence in cervical cancer screening: a randomized controlled study
Cervical cancer is preventable, yet poor comprehension of Pap smear results and non-adherence to follow-up major barriers, particularly in low health literacy settings. In Georgia, where screening coverage is below 20%, innovative communication strategies are needed. Artificial intelligence (AI) offers opportunities to strengthen patient communication through adaptive, emotionally expressive visual tools. To evaluate whether AI-generated visual explanations, paired with simplified text, improve comprehension, satisfaction, and follow-up adherence after cervical cancer screening compared with conventional text reporting. A randomized controlled trial enrolled 3,000 women aged 21-65 who underwent Pap smear testing between March and October 2024. Participants were randomized to three groups: Control (standard text), Text-only (enhanced plain-language text), and Intervention (AI-generated visuals plus text). Visuals were created with Craiyon, refined through expert and patient feedback, and aligned with Bethesda categories. Surveys assessed comprehension, satisfaction, and follow-up intent, while electronic records verified adherence. Analyses included chi-square tests, Kruskal-Wallis conformation for ordinal outcomes, and logistic regression for demographics and health literacy. The Intervention group achieved superior outcomes across all metrics. Comprehension reached 90 % versus 78 % in Text-only and 65 % in Control (χ AI-generated visual communication significantly improved comprehension, satisfaction, and follow-up adherence in cervical cancer screening. This study demonstrates a scalable informatics solution for patient engagement, though challenges remain regarding long-term behavioral impact, cross-cultural adaptation, and integration into routine health information systems.